Skip to content

Latest commit

 

History

History
20 lines (14 loc) · 961 Bytes

README.md

File metadata and controls

20 lines (14 loc) · 961 Bytes

Mastering_DS_ML

This repository is to master data science and machine learning algorithms. I will be reading some books and making the programming exercises with useful comments:

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
  • Learning SQL: Generate, Manipulate, and Retrieve Data
  • Data Science from scratch
  • Practical Statistics for Data Scientist

MySQL

Inside the container the sakila database must be created.

  1. Getting inside MySQL:

    • mysql -u root -ppass --host localhost --port 3306
  2. After downloading the required files and being exposed to the image, in the case of this repo, the path to the files inside the cointener is "/databases/, execute the following commands:

    • SOURCE /databases/sakila-schema.sql;

    • SOURCE /databases/sakila-data.sql;

  3. Connecting to the sakila database in the other container using the network of docker compose.